976 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- ETH ZurichCH148 papers
- University of California, Santa BarbaraUS14 papers
- École Polytechnique Fédérale de LausanneCH13 papers
- University of OxfordGB10 papers
- Institute for Dynamic Systems and ControlCH7 papers
- Delft University of TechnologyNL6 papers
- IBM Research - ZurichCH6 papers
- Aalborg UniversityDK5 papers
- Eindhoven University of TechnologyNL5 papers
- HES-SO Valais-WallisCH5 papers
- Indian Institute of Technology BombayIN5 papers
- Stanford UniversityUS5 papers
163 papers
Comparison of Current-Limiting Strategies for Grid-Forming Converters Under Grid Faults
Maitraya Avadhut Desai, Ramona Stoll, Xiuqiang He +2
This paper investigates the performance of three state-of-the-art current-limiting strategies for grid-forming (GFM) converters under grid faults. These highly effective strategies…
Stress Flow Guided Non-Planar Print Trajectory Optimization for Additive Manufacturing of Anisotropic Polymers
Xavier Guidetti, Efe C. Balta, Yannick Nagel +3
When manufacturing parts using material extrusion additive manufacturing and anisotropic polymers, the mechanical properties of a manufactured component are strongly dependent on t…
Subtransmission Grid Control via Online Feedback Optimization
Lukas Ortmann, Jean Maeght, Patrick Panciatici +2
The increasing electric power consumption and the shift towards renewable energy resources demand for new ways to operate transmission and subtransmission grids. Online Feedback Op…
Real-time Projected Gradient-based Nonlinear Model Predictive Control with an Application to Anesthesia Control
Sophie Hall, Lukas Ortmann, Miguel Picallo +1
Medical drug infusion problems pose a combination of challenges such as nonlinearities from physiological models, model uncertainty due to inter- and intra-patient variability, as…
Nonlinear Stability of Complex Droop Control in Converter-Based Power Systems
Xiuqiang He, Verena Häberle, Irina Subotić +1
In this letter, we study the nonlinear stability problem of converter-based power systems, where the converter dynamics are governed by a complex droop control. This complex droop…
On Power Control of Grid-Forming Converters: Modeling, Controllability, and Full-State Feedback Design
Meng Chen, Dao Zhou, Ali Tayyebi +3
The popular single-input single-output control structures and classic design methods (e.g., root locus analysis) for the power control of grid-forming converters have limitations i…
First-order Conditions for Optimization in the Wasserstein Space
Nicolas Lanzetti, Saverio Bolognani, Florian Dörfler
We study first-order optimality conditions for constrained optimization in the Wasserstein space, whereby one seeks to minimize a real-valued function over the space of probability…
Robust adaptive MPC using control contraction metrics
András Sasfi, Melanie N. Zeilinger, Johannes Köhler
We present a robust adaptive model predictive control (MPC) framework for nonlinear continuous-time systems with bounded parametric uncertainty and additive disturbance. We utilize…
Complex-Frequency Synchronization of Converter-Based Power Systems
Xiuqiang He, Verena Häberle, Florian Dörfler
In this paper, we study phase-amplitude multivariable dynamics in converter-based power systems from a complex-frequency perspective. Complex frequency represents the rate of chang…
Data-driven stabilization of switched and constrained linear systems
Mattia Bianchi, Sergio Grammatico, Jorge Cortés
We consider the design of state feedback control laws for both the switching signal and the continuous input of an unknown switched linear system, given past noisy input-state traj…
A self-contained karma economy for the dynamic allocation of common resources
Ezzat Elokda, Saverio Bolognani, Andrea Censi +2
This paper presents karma mechanisms, a novel approach to the repeated allocation of a scarce resource among competing agents over an infinite time. Examples include deciding which…
Advanced Manufacturing Configuration by Sample-efficient Batch Bayesian Optimization
Xavier Guidetti, Alisa Rupenyan, Lutz Fassl +2
We propose a framework for the configuration and operation of expensive-to-evaluate advanced manufacturing methods, based on Bayesian optimization. The framework unifies a tailored…
Kernel-Based Identification of Local Limit Cycle Dynamics with Linear Periodically Parameter-Varying Models
Defne E. Ozan, Mingzhou Yin, Andrea Iannelli +1
Limit cycle oscillations are phenomena arising in nonlinear dynamical systems and characterized by periodic, locally-stable, and self-sustained state trajectories. Systems controll…
Infinite-Dimensional Sparse Learning in Linear System Identification
Mingzhou Yin, Mehmet Tolga Akan, Andrea Iannelli +1
Regularized methods have been widely applied to system identification problems without known model structures. This paper proposes an infinite-dimensional sparse learning algorithm…
Data-Driven Optimal Control of Affine Systems: A Linear Programming Perspective
Andrea Martinelli, Matilde Gargiani, Marina Draskovic +1
In this letter, we discuss the problem of optimal control for affine systems in the context of data-driven linear programming. First, we introduce a unified framework for the fixed…
Augmentation of Generalized Multivariable Grid-Forming Control for Power Converters with Cascaded Controllers
Meng Chen, Dao Zhou, Ali Tayyebi +3
The classic design of grid-forming control strategies for power converters rely on the stringent assumption of the timescale separation between DC and AC states and their correspon…
Data-Driven Behaviour Estimation in Parametric Games
Anna M. Maddux, Nicolò Pagan, Giuseppe Belgioioso +1
A central question in multi-agent strategic games deals with learning the underlying utilities driving the agents' behaviour. Motivated by the increasing availability of large data…
Model-Free Nonlinear Feedback Optimization
Zhiyu He, Saverio Bolognani, Jianping He +2
Feedback optimization is a control paradigm that enables physical systems to autonomously reach efficient operating points. Its central idea is to interconnect optimization iterati…
Data-Driven Prediction with Stochastic Data: Confidence Regions and Minimum Mean-Squared Error Estimates
Mingzhou Yin, Andrea Iannelli, Roy S. Smith
Recently, direct data-driven prediction has found important applications for controlling unknown systems, particularly in predictive control. Such an approach provides exact predic…
Physics-informed linear regression is competitive with two Machine Learning methods in residential building MPC
Felix Bünning, Benjamin Huber, Adrian Schalbetter +5
Because physics-based building models are difficult to obtain as each building is individual, there is an increasing interest in generating models suitable for building MPC directl…
Generalized Multivariable Grid-Forming Control Design for Power Converters
Meng Chen, Dao Zhou, Ali Tayyebi +3
The grid-forming converter is an important unit in the future power system with more inverter-interfaced generators. However, improving its performance is still a key challenge. Th…
On the Interplay between Self-Driving Cars and Public Transportation
Nicolas Lanzetti, Maximilian Schiffer, Michael Ostrovsky +1
Cities worldwide struggle with overloaded transportation systems and their externalities. The emerging autonomous transportation technology has the potential to alleviate these iss…
Operationally-Safe Peer-to-Peer Energy Trading in Distribution Grids: A Game-Theoretic Market-Clearing Mechanism
Giuseppe Belgioioso, Wicak Ananduta, Sergio Grammatico +1
In future distribution grids, prosumers (i.e., energy consumers with storage and/or production capabilities) will trade energy with each other and with the main grid. To ensure an…
Analysis and Control of Autonomous Mobility-on-Demand Systems
Gioele Zardini, Nicolas Lanzetti, Marco Pavone +1
Challenged by urbanization and increasing travel needs, existing transportation systems need new mobility paradigms. In this article, we present the emerging concept of autonomous…